Estimation of Thermodynamic Models for Azeotropic Systems Using Data Assessment and Thermodynamic Consistency Test

Authors

  • Manojkumar M. S  Department of Chemical Engineering, FEAT, Annamalai University, Annamalai Nagar, Tamil Nadu, India
  • B. Sivaprakash  Department of Chemical Engineering, FEAT, Annamalai University, Annamalai Nagar, Tamil Nadu, India

Keywords:

Vapour Liquid Equilibrium, Azeotrope, Non Ideal System, Activity Coefficient Model, Thermodynamic Consistency

Abstract

Knowledge of precise vapor-liquid equilibria is a requirement to the detailed design of distillation equipment. However, such data is limited, and usually not available when new systems are under consideration, because it is complex and laborious to obtain the data experimentally. Predictive methods are therefore valuable for process evaluation and design. In this paper five binary azeotropes namely Acetone-water, Acetone-methanol, Ethanol-water, Ethanol-benzene, and Methanol-water were taken. The experimental vapour liquid equilibrium data determination for this system was carried out using Othmer type ebuilliometer in laboratory scale at atmospheric pressure. For the theoretical prediction of VLE five activity coefficient models namely NRTL, UNIQUAC, UNIFAC and modified form of florry-huggins equations (SRS and TCRS) have been employed. The parameters for the five systems of four models namely NRTL, UNIQUAC SRS and TCRS were computed using Newton Raphson technique. UNIFAC model was adopted using Analytical solution of group contribution (ASOG) method. Also these models are validated using thermodynamic consistency test. The performance of these models are tested and reported.

References

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International Journal of Scientific Research in Science, Engineering and Technology

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Published

2018-02-28

Issue

Volume 4, Issue 1, January-February-2018

Section

Research Articles

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How to Cite

[1]
Manojkumar M. S, B. Sivaprakash, " Estimation of Thermodynamic Models for Azeotropic Systems Using Data Assessment and Thermodynamic Consistency Test, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 4, Issue 1, pp.425-436, January-February-2018.